Brooke E. Husic

Publication Activity (10 Years)

Years Active: 2016-2022
Publications (10 Years): 7

Top Topics

Machine Learning

Dynamical Model

Top Venues

Mach. Learn. Sci. Technol.

J. Open Source Softw.

Publications

Moritz Hoffmann, Martin Scherer, Tim Hempel, Andreas Mardt, Brian de Silva, Brooke E. Husic, Stefan Klus, Hao Wu, J. Nathan Kutz, Steven L. Brunton, Frank Noé
Deeptime: a Python library for machine learning dynamical models from time series data. Mach. Learn. Sci. Technol. 3 (1) (2022)
Maciej Majewski, Adrià Pérez, Philipp Thölke, Stefan Doerr, Nicholas E. Charron, Toni Giorgino, Brooke E. Husic, Cecilia Clementi, Frank Noé, Gianni De Fabritiis
Machine Learning Coarse-Grained Potentials of Protein Thermodynamics. CoRR (2022)
Moritz Hoffmann, Martin Scherer, Tim Hempel, Andreas Mardt, Brian de Silva, Brooke E. Husic, Stefan Klus, Hao Wu, J. Nathan Kutz, Steven L. Brunton, Frank Noé
Deeptime: a Python library for machine learning dynamical models from time series data. CoRR (2021)
Jared Dunnmon, Swetava Ganguli, Darren Hau, Brooke E. Husic
Predicting US State-Level Agricultural Sentiment as a Measure of Food Security with Tweets from Farming Communities. CoRR (2019)
Brooke E. Husic, Kristy L. Schlueter-Kuck, John O. Dabiri
Amplifying state dissimilarity leads to robust and interpretable clustering of scientific data. CoRR (2018)
Evan N. Feinberg, Debnil Sur, Brooke E. Husic, Doris Mai, Yang Li, Jianyi Yang, Bharath Ramsundar, Vijay S. Pande
Spatial Graph Convolutions for Drug Discovery. CoRR (2018)
Robert T. McGibbon, Carlos X. Hernández, Matthew P. Harrigan, Steven M. Kearnes, Mohammad M. Sultan, Stanislaw Jastrzebski, Brooke E. Husic, Vijay S. Pande
Osprey: Hyperparameter Optimization for Machine Learning. J. Open Source Softw. 1 (5) (2016)